Machine Learning for iOS Developers

Autor*innen

• Abhishek Mishra

Parameter

• 336 Seiten
• 12 Lesestunden

• Computer & Internet
• Technologie & Industrie

Mehr zum Buch

Harness the power of Apple iOS machine learning (ML) capabilities and learn the essential concepts and techniques to become a successful practitioner! Machine learning, a branch of Artificial Intelligence (AI), enables computers to act without explicit programming, providing methods to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, often in multi-cloud settings. This reader-friendly guide assumes no prior experience with machine learning and offers expert instruction alongside practical examples for integrating ML into iOS applications. Organized into two sections, the book first covers fundamental ML concepts, types of ML systems, practical uses, and challenges. The second section teaches readers to use both pre-trained and user-built models with Apple's CoreML framework, providing downloadable source code examples for personal projects. Readers will gain a solid understanding of theoretical concepts and practical applications in predictive data analytics, learn to build, deploy, and maintain ML systems, and develop skills in data acquisition, modeling, classification, and regression. Additionally, the book compares traditional approaches with ML methods and explores decision tree models and integration with Scikit-learn and Keras. This resource is

• Sprache: Englisch
• Erscheinungsdatum: 2020
• Einband: Paperback